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Yeast Genetics

Overview of attention for book
Cover of 'Yeast Genetics'

Table of Contents

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    Book Overview
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    Chapter 1 Yeast Transformation by the LiAc/SS Carrier DNA/PEG Method.
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    Chapter 2 Tetrad, random spore, and molecular analysis of meiotic segregation and recombination.
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    Chapter 3 PCR Mutagenesis and Gap Repair in Yeast
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    Chapter 4 PCR-Mediated Epitope Tagging of Genes in Yeast.
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    Chapter 5 Manipulating the yeast genome: deletion, mutation, and tagging by PCR.
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    Chapter 6 Preparation of yeast cells for live-cell imaging and indirect immunofluorescence.
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    Chapter 7 Single yeast cell imaging.
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    Chapter 8 Microfluidic platforms for generating dynamic environmental perturbations to study the responses of single yeast cells.
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    Chapter 9 Using Two-Hybrid Interactions to Identify Separation-of-Function Mutations.
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    Chapter 10 Synthetic Genetic Array Analysis for Global Mapping of Genetic Networks in Yeast
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    Chapter 11 Chemical genetic and chemogenomic analysis in yeast.
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    Chapter 12 Phenomic assessment of genetic buffering by kinetic analysis of cell arrays.
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    Chapter 13 Detection of Short-Range Chromatin Interactions by Chromosome Conformation Capture (3C) in Yeast.
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    Chapter 14 Chromosome Conformation Capture (3C) of Tandem Arrays in Yeast.
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    Chapter 15 Global Analysis of Transcription Factor-Binding Sites in Yeast Using ChIP-Seq.
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    Chapter 16 High-density tiling microarray analysis of the full transcriptional activity of yeast.
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    Chapter 17 Analysis of Silencing in Saccharomyces cerevisiae.
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    Chapter 18 A User's Guide to the Ribosomal DNA in Saccharomyces cerevisiae.
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    Chapter 19 Two-dimensional agarose gel electrophoresis for analysis of DNA replication.
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    Chapter 20 Replicative life span analysis in budding yeast.
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    Chapter 21 Metabolomic and lipidomic analyses of chronologically aging yeast.
Attention for Chapter 20: Replicative life span analysis in budding yeast.
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Chapter title
Replicative life span analysis in budding yeast.
Chapter number 20
Book title
Yeast Genetics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1363-3_20
Pubmed ID
25213254
Book ISBNs
978-1-4939-1362-6, 978-1-4939-1363-3
Authors

George L Sutphin, Joe R Delaney, Matt Kaeberlein, George L. Sutphin, Joe R. Delaney, Sutphin, George L., Delaney, Joe R., Kaeberlein, Matt

Abstract

Identifying and characterizing the factors that modulate longevity is central to understanding the basic mechanisms of aging. Among model organisms used for research related to aging, the budding yeast has proven to be an important system for defining pathways that influence life span. Replicative life span is defined by the number of daughter cells a mother cell can produce before senescing. Over the past 10 years, we have performed replicative life span analysis on several thousand yeast strains, identifying several hundred genes that influence replicative longevity. In this chapter we describe our method for determining replicative life span. Individual cells are grown on solid media and monitored from their initial undivided state until they undergo senescence. Daughter cells are manually removed using a fiber optic needle and quantified to determine the total number of times each mother cell divides.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
United States 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Bachelor 2 12%
Lecturer > Senior Lecturer 1 6%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Other 5 29%
Unknown 2 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 59%
Agricultural and Biological Sciences 3 18%
Computer Science 1 6%
Engineering 1 6%
Unknown 2 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2014.
All research outputs
#15,651,328
of 23,262,131 outputs
Outputs from Methods in molecular biology
#5,463
of 13,319 outputs
Outputs of similar age
#192,569
of 307,642 outputs
Outputs of similar age from Methods in molecular biology
#203
of 591 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,319 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 591 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.

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